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- Vibe coding with GitHub Copilot 👨💻
Vibe coding with GitHub Copilot 👨💻
🦾Plus: 🦙 Meta launches Llama 4 model family

Hey folks! Let’s get into Big Data and AI craziness…
In today's edition: What's Shaping the Future of Data?
📊50+ Incredible Big Data Statistics for 2025
🦙Fine-tune & Run Llama 4
📈The AI curve is bending
🏗️What is Data Architecture and why Data Engineers should consider it
🤖Microsoft made Quake II playable with AI
🧠 DeepSeek’s AI can now improve itself
🤖Cyberattacks by AI agents are coming
💡 AI Tutorial: Transferring styles between images with GPT-4o
🤖 AI Tools and Data Tools to checkout

You can now vibe code with GitHub Copilot using their new Agent Mode, rolling out to all VS Code users. This upgrade lets Copilot actually take action across your codebase - working across multiple files, suggesting terminal commands, and even fixing runtime errors on its own. The agent mode achieves a pass rate of 56.0% on SWE-bench-verified with Claude 3.7 Sonnet. GitHub is also adding premium AI models from Anthropic, Google, and OpenAI to their lineup, with paid users getting a monthly quota of premium requests starting at 300 for Copilot Pro subscribers.
Most hearing aids have one processor. These bad boys have two. They process speech and noise separately. What does this mean? It means speech gets clearer and crisper – more than ever before. Conversations and listening become effortless. Oh, and they’re so tiny, they’re practically invisible. No wonder over 425,000 customers love them.

The realm of the Big Data industry encompasses various aspects, including data centers, cloud services, IoT devices, and predictive analysis tools. However, what does the industry reveal when examined through raw numerical insights? This is precisely what we aim to explore in this comprehensive roundup of Big Data statistics.
Unsloth now supports fine-tuning Meta's new Llama 4 models with some impressive performance gains. Their optimizations make Llama 4 Scout training 1.5x faster and use 50% less VRAM than standard implementations, and context lengths 8x longer than environments using Flash Attention 2. They'll soon make Llama 4 Scout training fit in a single H100 80GB GPU once 4-bit support arrives.

Model output is now actually worth more than the cost of real dev work. It's starting to make sense to throw a lot of money towards inference. This will probably cause some disruption in the junior dev job market - or at least disrupt what it means to be a junior dev. Code-writing agents are predicted to essentially match college graduates in almost all software tasks by the end of 2026.

Every data engineer should understand data architecture, as they often play a role in key design decisions based on their team’s size and structure. In startups or greenfield projects, engineers may build the entire system themselves. Even in companies with dedicated data architects, adopting an architectural mindset helps engineers make better decisions and excel in their roles.
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👨💻 Data Tools, Libraries
Sparks (GitHub Repo)
Sparks is a typeface for creating sparklines in text without code. It uses OpenType's contextual alternates feature to perform simple replacement operations on numbers.
Hatchet (GitHub Repo)
Hatchet is a platform for running background tasks. It distributes functions between sets of workers with minimal configuration or infrastructure.
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Meta just announced its Llama 4 family with multimodal capabilities and industry-leading context length—introducing new open-weights Llama Scout and Llama Maverick models and previewing a 2T parameter Llama Behemoth model still in training.
Through Squarespace’s cutting-edge features that combine automation, design presets, creative guidance, and generative AI, Design Intelligence makes it easy to build a beautiful and impactful website. With just a few pieces of information, Blueprint AI generates an entire website customized based off your brand’s goals, name, and personality. It’s AI speed, with Squarespace’s 20+ years of design expertise in website building.

Microsoft decided to let its AI make a game level. Not just any game Quake II. If you're thinking “Whoa, that’s cool,” you’re not wrong. But also… it’s weird. They dropped a browser-based demo using their Copilot AI platform. You can play it. Microsoft trained its Muse AI models on a Quake II level it owns (thanks to buying ZeniMax).

DeepSeek, the Chinese AI company behind one of this year’s fastest-growing open-source models, is now tackling a major technical goal: AI models that can train themselves. Partnering with Tsinghua University, they’ve introduced DeepSeek-GRM, a new type of self-improving AI.

OpenAI has recently explored acquiring io Products, a startup developing an AI-powered personal device in collaboration with former Apple designer Jony Ive’s studio, LoveFrom. The device, still in early stages, may take the form of a screenless “phone” or AI-enabled household gadget, though sources insist it is not a traditional phone.

AI agents, capable of planning and executing complex tasks, are gaining attention not only for their potential to assist with everyday tasks but also for their alarming capacity to conduct sophisticated cyberattacks. While widespread use by cybercriminals hasn’t occurred yet, researchers have shown that agents can already carry out advanced attacks, and experts predict their role in hacking will rapidly grow.
Instead of trying to predict which party will win, and where to invest afterwards, why not invest in an ‘election-proof’ alternative asset? The sector is currently in a softer cycle, but over the last seven elections (1995-2023) blue-chip contemporary art has outpaced the S&P 500 by 64% even despite the recent dip, regardless of the victors, and we have conviction it will rebound to these levels long-term.
Now, thanks to Masterworks’ art investing platform, you can easily diversify into this asset class without needing millions or art expertise, alongside 65,000+ other art investors. From their 23 exits so far, Masterworks investors have realized representative annualized net returns like +17.6%, +17.8%, and +21.5% (among assets held longer than one year), even despite a recent dip in the art market.*
AI Tutorial
🎨 Transferring styles between images with GPT-4o

ChatGPT’s new native image generation feature can transfer styles between images, allowing you to easily apply the aesthetic of one image to another for striking results.
Step-by-step:
Visit ChatGPT and select “Create Image” from the menu options.
Upload both your style reference image (the look you want to have as inspiration) and your content image (the one you want to transform).
Craft a specific prompt like: "Apply the visual style, lighting, and composition of the first image to the second image."
Review the generated result and refine with follow-up instructions if needed.
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🔥Top AI tools to increase productivity:
Gelt is the intelligent tax platform designed for high-net-worth individuals
funfun.ai is the best AI Girlfriend builder.
Marblism generates a fully-functional web application from a single prompt
Clipwing A tool for cutting long videos into dozens of short clips
aiPDF is an innovative, multi-modal tool designed to work with a wide array of inputs, including ebooks, web articles, YouTube videos, podcasts.
🎭 FaceStudio - The Fastest Way to Create Realistic Faces Online!
Baby Fotor leverages advanced AI technology to create a lifelike image of your future baby
Maze Guru is a conversational AI tool for generating videos and images
View our database of all the best AI tools for your needs: aitoolsup.com
Have cool resources to share? Submit AI tool
A.I. Generated Image of the Day
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